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Improved adherence and treatment outcomes with an engaging, personalized digital therapeutic in amblyopia
Given the prevalence of poor adherence to therapy and the biases of self-reporting across healthcare, we hypothesized that an engaging, personalized therapy may improve adherence and treatment outcomes in the home. We tested this hypothesis in the initial indication of amblyopia, a neurodevelopmenta...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239850/ https://www.ncbi.nlm.nih.gov/pubmed/32433490 http://dx.doi.org/10.1038/s41598-020-65234-3 |
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author | Xiao, Scott Gaier, Eric D. Mazow, Malcolm L. Stout, Ann U. Travers, Dean A. Angjeli, Endri Wu, Hank C. Binenbaum, Gil Hunter, David G. |
author_facet | Xiao, Scott Gaier, Eric D. Mazow, Malcolm L. Stout, Ann U. Travers, Dean A. Angjeli, Endri Wu, Hank C. Binenbaum, Gil Hunter, David G. |
author_sort | Xiao, Scott |
collection | PubMed |
description | Given the prevalence of poor adherence to therapy and the biases of self-reporting across healthcare, we hypothesized that an engaging, personalized therapy may improve adherence and treatment outcomes in the home. We tested this hypothesis in the initial indication of amblyopia, a neurodevelopmental disorder for which available treatments are limited by low adherence. We designed a novel digital therapeutic that modifies patient-selected cinematic content in real-time into therapeutic visual input, while objectively monitoring adherence. The therapeutic design integrated a custom-designed headset that delivers precise visual input to each eye, computational algorithms that apply real-time therapeutic modifications to source content, a cloud-based content management system that enables treatment in the home, and a broad library of licensed content. In a proof-of-concept human study on the therapeutic, we found that amblyopic eye vision improved significantly after 12 weeks of treatment, with higher adherence than that of available treatments. These initial results support the utility of personalized therapy in amblyopia and may have broader relevance for improving treatment outcomes in additional indications. |
format | Online Article Text |
id | pubmed-7239850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72398502020-05-29 Improved adherence and treatment outcomes with an engaging, personalized digital therapeutic in amblyopia Xiao, Scott Gaier, Eric D. Mazow, Malcolm L. Stout, Ann U. Travers, Dean A. Angjeli, Endri Wu, Hank C. Binenbaum, Gil Hunter, David G. Sci Rep Article Given the prevalence of poor adherence to therapy and the biases of self-reporting across healthcare, we hypothesized that an engaging, personalized therapy may improve adherence and treatment outcomes in the home. We tested this hypothesis in the initial indication of amblyopia, a neurodevelopmental disorder for which available treatments are limited by low adherence. We designed a novel digital therapeutic that modifies patient-selected cinematic content in real-time into therapeutic visual input, while objectively monitoring adherence. The therapeutic design integrated a custom-designed headset that delivers precise visual input to each eye, computational algorithms that apply real-time therapeutic modifications to source content, a cloud-based content management system that enables treatment in the home, and a broad library of licensed content. In a proof-of-concept human study on the therapeutic, we found that amblyopic eye vision improved significantly after 12 weeks of treatment, with higher adherence than that of available treatments. These initial results support the utility of personalized therapy in amblyopia and may have broader relevance for improving treatment outcomes in additional indications. Nature Publishing Group UK 2020-05-20 /pmc/articles/PMC7239850/ /pubmed/32433490 http://dx.doi.org/10.1038/s41598-020-65234-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Xiao, Scott Gaier, Eric D. Mazow, Malcolm L. Stout, Ann U. Travers, Dean A. Angjeli, Endri Wu, Hank C. Binenbaum, Gil Hunter, David G. Improved adherence and treatment outcomes with an engaging, personalized digital therapeutic in amblyopia |
title | Improved adherence and treatment outcomes with an engaging, personalized digital therapeutic in amblyopia |
title_full | Improved adherence and treatment outcomes with an engaging, personalized digital therapeutic in amblyopia |
title_fullStr | Improved adherence and treatment outcomes with an engaging, personalized digital therapeutic in amblyopia |
title_full_unstemmed | Improved adherence and treatment outcomes with an engaging, personalized digital therapeutic in amblyopia |
title_short | Improved adherence and treatment outcomes with an engaging, personalized digital therapeutic in amblyopia |
title_sort | improved adherence and treatment outcomes with an engaging, personalized digital therapeutic in amblyopia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239850/ https://www.ncbi.nlm.nih.gov/pubmed/32433490 http://dx.doi.org/10.1038/s41598-020-65234-3 |
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